sungyubkim / MINE-Mutual-Information-Neural-Estimation-Links
A pytorch implementation of MINE(Mutual Information Neural Estimation)
☆351Updated 6 years ago
Alternatives and similar repositories for MINE-Mutual-Information-Neural-Estimation-
Users that are interested in MINE-Mutual-Information-Neural-Estimation- are comparing it to the libraries listed below
Sorting:
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆206Updated 7 years ago
- Mutual Information Neural Estimation in Pytorch☆342Updated last year
- Pytorch implementation of Deep Variational Information Bottleneck☆204Updated 7 years ago
- Learning deep representations by mutual information estimation and maximization☆322Updated 6 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- Approximating Wasserstein distances with PyTorch☆459Updated 2 years ago
- Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"☆806Updated 6 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆283Updated 7 years ago
- ☆66Updated 6 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆351Updated 3 years ago
- Implementation of Real NVP in PyTorch☆236Updated 6 years ago
- PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution☆211Updated 7 years ago
- Disentanglement library for PyTorch☆281Updated 3 years ago
- An implementation of EWC with PyTorch☆255Updated 6 years ago
- A Variational Autoencoder (VAE) implemented in PyTorch☆433Updated 3 years ago
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆346Updated 5 years ago
- the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch☆138Updated 2 years ago
- Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Informat…☆58Updated 5 years ago
- This is an implementation of the VAE (Variational Autoencoder) for Cifar10☆73Updated 3 years ago
- A Tensorflow implementation Mutual Information estimation methods☆48Updated 2 years ago
- Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information☆349Updated last year
- A pytorch implementation of Maximum Mean Discrepancies(MMD) loss☆212Updated 3 years ago
- Simple, extendable, easy to understand Glow implementation in PyTorch☆387Updated 3 years ago
- Pytorch implementation of β-VAE☆552Updated 4 years ago
- Testing methods for estimating KL-divergence from samples.☆68Updated 8 months ago
- PyTorch implementation of Wasserstein Auto-Encoders☆296Updated 5 years ago
- ☆92Updated 3 years ago
- PyTorch code to run synthetic experiments.☆428Updated 4 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆105Updated 5 years ago
- Multimodal Mixture-of-Experts VAE☆217Updated 2 years ago